Accelerating vector calculations on GPU

Grondžák, Karol; Martincová, Penka; Šuch, Ondřej

Digitální knihovna UPCE
→
Univerzita Pardubice
→
Publikace vydané Univerzitou Pardubice / Published by the University of Pardubice
→
Odborné časopisy / Journals
→
Scientific papers of the University of Pardubice
→
Series D, Faculty of Economics and Administration
→
2011/19 Scientific papers, Series D
→
Zobrazit záznam

Accelerating vector calculations on GPU

Grondžák, Karol; Martincová, Penka; Šuch, Ondřej

Soubory tohoto záznamu

URI: http://hdl.handle.net/10195/42168

Datum publikování: 2011

Typ dokumentu: Article

Zdrojový dokument: Scientific papers of the University of Pardubice. Series D, Faculty of Economics and Administration. 19 (1/2011)

ISSN: 1211-555X (Print)

Abstrakt:

Multicore computational accelerators such as Graphics Processor Units(GPUs) became common for gaining high-performance computing on a larger scale.Programming GPUs requires detailed knowledge of the underlying architecture in order to get maximum performance. In this paper we present solution of vector distance calculation on NVIDIA’s parallel computing architecture CUDA (Common Unified Device Architecture), where we optimize the performance of a parallel algorithm and get significant speedup.

Zobrazit celý záznam